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The data is on coffee
Static 1
Column
test LOL
Column
Chart B
Chart C
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Interactive 1
Interactive 2
Analysis
total_cup_points species acidity country_of_origin processing_method
1 0.00 Arabica 0.00 Honduras <NA>
2 59.83 Arabica 7.67 Guatemala Washed / Wet
3 63.08 Arabica 6.25 Nicaragua Other
4 67.92 Arabica 6.67 Haiti Natural / Dry
5 68.33 Arabica 7.42 Mexico Washed / Wet
altitude_mean_meters
1 1400.00
2 1417.32
3 1100.00
4 350.00
5 900.00 total_cup_points species acidity country_of_origin processing_method
1 90.58 Arabica 8.75 Ethiopia Washed / Wet
2 89.92 Arabica 8.58 Ethiopia Washed / Wet
3 89.75 Arabica 8.42 Guatemala <NA>
4 89.00 Arabica 8.42 Ethiopia Natural / Dry
5 88.83 Arabica 8.50 Ethiopia Washed / Wet
6 88.83 Arabica 8.50 Brazil Natural / Dry
altitude_mean_meters
1 2075
2 2075
3 1700
4 2000
5 2075
6 NA
Brazil Burundi
132 2
China Colombia
16 183
Costa Rica Cote d?Ivoire
51 1
Ecuador El Salvador
3 21
Ethiopia Guatemala
44 181
Haiti Honduras
6 53
India Indonesia
14 20
Japan Kenya
1 25
Laos Malawi
3 11
Mauritius Mexico
1 236
Myanmar Nicaragua
8 26
Panama Papua New Guinea
4 1
Peru Philippines
10 5
Rwanda Taiwan
1 75
Tanzania, United Republic Of Thailand
40 32
Uganda United States
36 10
United States (Hawaii) United States (Puerto Rico)
73 4
Vietnam Zambia
8 1 # A tibble: 5 × 12
processing_method mean_cup_points mean_acidity mean_aroma mean_flavor
<chr> <dbl> <dbl> <dbl> <dbl>
1 Natural / Dry 82.2 7.55 7.59 7.58
2 Other 81.3 7.40 7.46 7.44
3 Pulped natural / honey 82.8 7.54 7.53 7.51
4 Semi-washed / Semi-pulped 82.6 7.54 7.60 7.59
5 Washed / Wet 82.0 7.53 7.56 7.49
# ℹ 7 more variables: mean_aftertaste <dbl>, mean_body <dbl>,
# mean_balance <dbl>, mean_uniformity <dbl>, mean_clean_cup <dbl>,
# mean_sweetness <dbl>, mean_moisture <dbl># A tibble: 2 × 12
species mean_cup_points mean_acidity mean_aroma mean_flavor mean_aftertaste
<chr> <dbl> <dbl> <dbl> <dbl> <dbl>
1 Arabica 82.1 7.53 7.56 7.52 7.40
2 Robusta 80.9 7.66 7.70 7.63 7.56
# ℹ 6 more variables: mean_body <dbl>, mean_balance <dbl>,
# mean_uniformity <dbl>, mean_clean_cup <dbl>, mean_sweetness <dbl>,
# mean_moisture <dbl>acidity, aroma, flavor, aftertaste, body, balance, uniformity, clean_cup, sweetness, moisture
Data with code
data with coordinate
United States, USA United States (Hawaii), Hawaii United States (Puerto Rico), Puerto Rico
# A tibble: 99,340 × 8
country_of_origin mean_acidity long lat group order region subregion
<chr> <dbl> <dbl> <dbl> <dbl> <int> <chr> <chr>
1 Brazil 7.51 -48.5 -27.8 222 12141 Brazil Ilha de Santa …
2 Brazil 7.51 -48.6 -27.8 222 12142 Brazil Ilha de Santa …
3 Brazil 7.51 -48.5 -27.6 222 12143 Brazil Ilha de Santa …
4 Brazil 7.51 -48.5 -27.5 222 12144 Brazil Ilha de Santa …
5 Brazil 7.51 -48.5 -27.4 222 12145 Brazil Ilha de Santa …
6 Brazil 7.51 -48.4 -27.4 222 12146 Brazil Ilha de Santa …
7 Brazil 7.51 -48.4 -27.5 222 12147 Brazil Ilha de Santa …
8 Brazil 7.51 -48.4 -27.6 222 12148 Brazil Ilha de Santa …
9 Brazil 7.51 -48.5 -27.7 222 12149 Brazil Ilha de Santa …
10 Brazil 7.51 -48.5 -27.8 222 12150 Brazil Ilha de Santa …
# ℹ 99,330 more rows